유비쿼터스 컴퓨팅 환경에서 상황인식 기반 TV 응용 서버스

Context-aware based TV Application Services in Ubiquitous Computing Environments

  • 발행 : 2006.07.01

초록

유비쿼터스 컴퓨팅 환경이 도래함에 따라 사용자의 명시적 요구에 따라 제공되는 서비스 보다는 상황정보를 활용하여 능동적인 서비스를 지원할 수 있는 기술이 필요하다. 따라서 본 논문에서는 컨텐츠 추천 서비스 에이전트와 상황인식 기반 태스크를 포함하는 CAMUS(Context-Aware Middleware for URC Systems) 시스템을 이용한 상황인식 기반 능동형 서버스를 제안한다. CAMUS 는 사용자의 요청이 없더라도 로봇 또는 컴퓨터가 현재의 상황을 인식하여 그 상황에 맞는 정보와 서비스를 제공할 수 있도록 지원하는 소프트웨어 프레임워크이다. 제안된 서비스를 평가하기 위하여 TV 응용 도메인에 적용한다. 이를 위해, TV 프로그램 추천 및 TV 제어 서비스 에이전트 그리고 TV 도우미 태스크를 구현한다. TV 도우미 태스크는 사용자 위치, 음성 등의 상황 정보에 따라 TV 프로그램 추천 및 제어 서비스를 실행할 수 있도록 한다.

With the advent of ubiquitous computing environments, it has become increasingly important for applications to take full advantage of context information, such as the user's location, to offer greater services to the user without any explicit request. In this paper, we propose context-aware active services on the basis of CAMUS (Context-Aware Middleware for URC Systems). CAMUS is a middleware for providing context-aware applications with development and execution methodology. Accordingly, the applications developed by CAMUS respond in a timely fashion to contexts. To evaluate, we apply proposed active services to TV application domain. Therefore, we implement and experiment the TV contents recommendation service agent, control service agent and TV task based on CAMUS. The context-aware TV task is to recommend programs and control of TV according to user preference, location and voice commands.

키워드

참고문헌

  1. J. Ryu, M. Kim, J. Nam, K. Kang and J. Kim, 'User Preference based Intelligent Program Guide,' Journal of The Korean Society of Broadcast Engineers, 7(2), 2002, pp. 153-167
  2. W. Lee and T. Yang, 'Personalizing Information Appliances: a Multi-agent Framework for TV Programme Recommendations,' Expert Systems with Applications, Vol. 25, 2003, pp. 331-341 https://doi.org/10.1016/S0957-4174(03)00074-5
  3. L. Ardissono et al.,'Personalized recommendation of TV Programs,' LNCS, No. 2829, pp. 474-486, 2003
  4. W. Dai and R. Cohen, 'Dynamic Personalized TV Recommendation System,' Proc. Workshop on Personalization in Future TV, 2003
  5. K. Kurapati, 'A Multi-Agent TV Recommender,' Proc. Workshop on Personalization in Future TV, 2001
  6. K. Kurapati and S. Gutta, 'TV Personalization through Stereotypes,' Proc. Workshop on Personalization in Future TV, 2002
  7. J. Xu, L. Zhang, H. Lu and Y. Li, 'The Development and Prospect of Personalized TV Program Recommendation Systems,' Proc. IEEE Symp. Multimedia Software Engineering, 2002, pp. 82-89
  8. S. Yoo, H. Lee, H. Lee and H. Kim, 'A Content-based TV Program Recommender,' Journal of KISS, 9(6), 2003, pp. 683-692
  9. A. Dey, D. Abowd and D. Salber, 'Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications,' HCI Journal, Vol. 16, 2001
  10. H. Kim et al., 'A Software Robot Technology in URC,' Journal of The Korean Institute of Communication Sciences, 21(10), 2004, pp. 36-43
  11. B. Schilit, N. Adams, and R. Want. 'Context-aware Computing Applications,' Proc. IEEE Workshop on Mobile Computing Systems and Applications, 1994, pp. 85-90
  12. R. Want, A. Hopper, V. Falcao and J. Gibbons. 'The Active Badge Location System,' ACM Transactions on Information Systems, Vol. 10, No.1, 1992, pp. 91-102 https://doi.org/10.1145/128756.128759
  13. G. Abowd et al., 'Cyberguide: A Mobile Context-aware Tour Guide', Wireless Networks, Vol. 3, No.5, 1997, pp. 421-433 https://doi.org/10.1023/A:1019194325861
  14. A. Asthana, M. Cravatts and P. Krzyzanowski. 'An indoor wireless system for personalized shopping assistance,' Proc. IEEE Workshop on Mobile Computing Systems and Applications, 1994, pp. 69-74
  15. A. Dey, M. Futakawa, D. Salber, and G. Abowd, 'The Conference Assistant: Combining Context-Awareness with Wearable Computing,' Proc. Symp. Wearable Computers, 1999, pp. 21-28
  16. P. Brown. 'Triggering Information by Context', Personal Technologies, Vol. 2, No. 1, 1998
  17. K. Romer, 'Tracking Real-World Phenomena with Smart Dust,' LNCS, No. 2920, 2004, pp. 28-43
  18. B. Warneke, M. Last, B. Leibowitz and K. Pister, 'Smart Dust: Communication with a Cubic-Millimeter Computer,' IEEE Computer Magazine, Vol. 34, No.1, 2001, pp. 44-51
  19. M. Balabnovic and Y. Shoham, 'ContentBased, Collaborative Recommendation,' CACM, Vol. 40, No.3, 1997, pp. 66-72
  20. L. Ardissono, 'User Modeling and Recommendation Techniques for Personalized Electronic Program Guides,' Personalized Digital Television, Human-Computer Interaction Series, Vol. 6, 2004
  21. http://www.tivo.com